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International Conference on Advanced Computing and Communications (ADCOM)

作者： P. Selvi N.P. Gopalan Research scholar Department of Computer Science and Engineering National Institute of Technology Tiruchirappalli India Department of Computer Applications National Institute of Technology Tiruchirappalli India

In previous work we have applied the novel [7] a method originally designed to evaluate automatic machine translation systems, in assessing short essays written by students [16]. In this paper we present a comparative evaluation between this combination algorithms and a system based on BLEU and Latent Semantic Analysis. In addition we propose an effective combination schema for them. We study how much combination approach scores correlate to human scorings and other evaluation metrics. In spite of the simplicity of these shallow NLP methods, they achieve state-of-the art correlations to the teacher's scores while keeping the language-independence and without requiring any domain specific knowledge.

关键词： Writing Humans Costs Natural language processing Electronic learning computer aided analysis computer science Design methodology Algorithm design and analysis Art

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Progressive Image Transmission Using Significant Features and Linear Regression Prediction

Progressive Image Transmission Using Significant Features an...

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International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP)

作者： Chin-chen Chang Jun-chou Chuang Department of Information Engineering and Computer Science Feng Chia University FCU Taichung Taiwan Department of Information Science and Applications Asia University Taichung Taiwan

Progressive image transmission is often used in low bandwidth communications or in limited bandwidth environments. When a user browses an image on a website, the web server first sends a low quality image to the receiver and then gradually improves the image quality by subsequent transmissions .Because the image size becomes larger and larger, it is essential to develop a flexible and efficient technique to help users quickly browse or retrieve images on a website. For this reason, using significant features along with a prediction technique for progressive image transmission is proposed in this paper. In our method, significant features of an image need to be extracted first. Next, these features, according to their priority, are sent to the receiver. For reducing the encoding cost of the transmitted data, three approaches, sampling, quantization, and linear regression prediction, are also presented.

关键词： Image communication Linear regression Bandwidth Web server Image quality Image retrieval Data mining Encoding Costs Image sampling

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An m-ary tree based Frequent Temporal Pattern (FTP) mining algorithm

An m-ary tree based Frequent Temporal Pattern (FTP) mining a...

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IEEE India Conference (INDICON)

作者： N.P. Gopalan B. SivaSelvan Department of Computer Applications National Institute of Technology Tiruchirappalli Tamil Nadu India Department of Computer Science & Engineering National Institute of Technology Tiruchirappalli Tamil Nadu India

Frequent set mining (FSM), an important phase of association rule mining, is the process of generating frequent sets that satisfy a specified minimum support threshold. This paper explores FSM in temporal data domain or FTP mining and proposes an efficient algorithm for the same. Existing algorithms for FTP mining are based on a priori's level wise principle. In conventional or transactional data domain, a priori has been proven to suffer from the repeated scans limitation and has been succeeded by several algorithms that overcome the setback. The proposed algorithm eliminates a priori's repeated scans limitation in temporal domain, requiring only two overall scans of the original input. Experimental results demonstrate the significant improvements in execution time of the proposed algorithm as opposed to the a priori based one

关键词： Data mining Association rules Multimedia databases Clustering algorithms Knowledge engineering Tree data structures Image databases Internet Motion pictures Focusing

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Performance-Based Content Retrieval for Learning Object Repositories on Grid Environments

Performance-Based Content Retrieval for Learning Object Repo...

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IEEE International Conference on Parallel and Distributed Computing, applications and Technologies (PDCAT)

作者： Wen-Chung Shih Chao-Tung Yang Ping-I Chen Shian-Shyong Tseng Department of Computer Science National Chiao Tung University Hsinchu Taiwan High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan Department of Information Science and Applications Asia University Taichung Taiwan

The sharable content object reference model (SCORM) has become a popular standard for sharing and reusing teaching materials in the field of e-learning. However, efficient retrieval of SCORM-compliant learning objects stored on grid environments is a challenging problem. In this paper, a performance-based approach is proposed to retrieve teaching materials in grid environments. The proposed architecture uses the real-time information gathered by a resource-monitoring tool to estimate the dynamically changing performance of each node, for CPU loading and network bandwidth. In addition, a grid testbed is built to implement the model. Experimental results show that the proposed approach can choose the most appropriate site to reduce the retrieval time

关键词： Content based retrieval Grid computing Education Internet Distributed computing Electronic learning Content management Concurrent computing Information retrieval computer science

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A Peer-to-Peer Based Framework of InterLibrary Cooperation for Digital Libraries

A Peer-to-Peer Based Framework of InterLibrary Cooperation f...

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IEEE International Conference on Parallel and Distributed Computing, applications and Technologies (PDCAT)

作者： Wen-Chung Shih Chao-Tung Yang Shian-Syong Tseng Chun-Jen Chen National Chi Nan University Nantou Taiwan Department of Computer Science National Chiao Tung University Hsinchu Taiwan High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan Department of Information Science and Applications Asia University Taichung Taiwan Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

Traditionally, interlibrary cooperation is an important interaction between libraries. Nevertheless, the emerging digital library architecture has not explicitly supported this requirement. In this paper, we proposed an interlibrary cooperation framework for digital libraries using P2P technology. An application of this framework to Faculty Publication Sharing System was presented. Besides, a reputation model based on data mining is utilized to provide libraries with incentives to join this framework

关键词： Peer to peer computing Software libraries computer science Books computer architecture Data mining Client-server systems Chaos Laboratories Knowledge engineering

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Minimum-Energy Broadcast Using Practical Directional Antennas in All-Wireless Networks

Minimum-Energy Broadcast Using Practical Directional Antenna...

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： S. Roy Y. C. Hu D. Peroulis X.-Y. Li School of Electrical and Computer Engineering Center for Wireless Systems and Applications Purdue University West Lafayette IN USA Department of Computer Science Illinois Institute of Technology Chicago IL USA

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A control-design-based solution to robotic ecology: Autonomy of achieving cooperative behavior from a high-level astronaut command

A control-design-based solution to robotic ecology: Autonomy...

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作者： Wang, Jing Qu, Zhihua Ihlefeld, Curtis M. Hull, Richard A. Department of Electrical and Computer Engineering University of Central Florida Orlando FL 32816 United States Kennedy Space Center FL 32899 United States Lockheed Martin Missiles and Fire Control 5600 Sand Lake Rd. MP-450 Orlando FL 32819 United States School of Electrical and Computer Science University of Central Florida IEEE AIAA University of Central Florida Department of Electrical and Computer Engineering National Aeronautics and Space Administration Kennedy Space CenterKennedy Space Center Applied Physics Lab. Advanced Concepts Business Unit Science Applications International Corporation SAIC IEEE Control System Society

In this paper, we propose a cooperative control strategy for a group of robotic vehicles to achieve the specified task issued from a high-level astronaut command. The problem is mathematically formulated as designing the cooperative control for a general class of multiple-input-multiple-output (MIMO) dynamical systems in canonical form with arbitrary but finite relative degrees such that the outputs of the overall system converge to the explicitly given steady state. The proposed cooperative control for individual vehicle only need to use the sensed and communicated outputs information from its local neighboring vehicles. No fixed leader and time-invariant communication networks are assumed among vehicles. Particularly, a set of less-restrictive conditions on the connectivity of the sensor/communication networks are established, under which it is rigorously proven by using the newly found nice properties of the convergence of sequences of row stochastic matrices that the cooperative objective of the overall system can be achieved. Simulation results for a group of vehicles achieving a target and surrounding a specified object in formation are provided to support the proposed approach in this paper.

关键词： Robotics

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Knowledge acquisition assist in analyzing network behaviors

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WSEAS Transactions on computers 2006年第11期5卷 2642-2649页

作者： Lin, Shun-Chieh Huang, Po-Chih Tseng, Shian-Shyong Jan, Nien-Yi Department of Computer Science National Chiao Tung University 1001 Ta-hsueh Rd. Hsinchu 300 Taiwan Department of Information Science and Applications Asia University 500 Liu-feng Rd. Wufeng Taichung Taiwan Department of Computer Science and Information Engineering Tamkang University 151 Ying-chuan Rd. Tamsui Taipei Taiwan

Many researches have developed different systematic approaches to analyze different network traffic sources for protecting the important network-based applications and services due to the dramatically increasing intrusion behaviors. However, the data sources used in these approaches are usually flat without using concept hierarchy of data dimension. In order to reduce the effort of administrators to analyze the network behaviors, a Knowledge Acquisition of Behavior Model Construction (KABMC) schema is proposed in this paper to acquire the knowledge or the expertise of network behavior models. Consequently, Network Intrusion Monitoring System (NIMS) architecture including data preprocessing phase, concept hierarchy and data cube construction phase and data analysis phase is implemented to analyze network traffic data based upon the acquired behavior models. The experimental results show that several network behaviors can be easily visualized to assist junior administrators in discovering network behaviors.

关键词： Knowledge acquisition

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An improvement of an efficient user identification scheme based on ID-based cryptosystem

An improvement of an efficient user identification scheme ba...

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IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing

作者： J.-S. Chou Yalin Chen Chu-Hsing Lin Department of Information Management Nanhua University Chiayi Taiwan Institute of Information Systems and Applications National Tsing Hua University Hsinchu Taiwan Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

In this paper an efficient user identification scheme based on ID-based cryptosystem is discussed. In this paper, it is indicated that Hwang et al., scheme is vulnerable to the forgery attack. And also improved scheme is quite similar to Hwang et al's scheme; the modified scheme is secure against the attack. The time complexity of computing the parameter a requires just one more modular multiplication operation. Thus, the scheme is not only far more secure but also efficient than Hwang et al's

关键词： Identity-based encryption Public key cryptography Public key Base stations Pervasive computing Wireless application protocol Information management Management information systems Application software computer science

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Outsourcing Security Analysis with Anonymized Logs

Outsourcing Security Analysis with Anonymized Logs

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International Conference on Security and Privacy for Emerging Areas in Communications Networks (SecureComm)

作者： Jianqing Zhang Nikita Borisov William Yurcik Department of Computer Science University of Illinois Urbana-Champaign Urbana IL USA Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign Urbana IL USA National Center for Supercomputing Applications (NCSA) University of Illinois Urbana-Champaign Urbana IL USA

As security monitoring grows both more complicated and more sophisticated, there is an increased demand for outsourcing these tasks to managed security service providers (MSSPs). However, the core problem of sharing private security logs creates a barrier to the widespread adoption of this business model. In this paper we analyze the logs used for security analysis with the concern of privacy and propose the constraints on anonymization of security monitor logs. We believe if the anonymization solution fulfills the constraints, MSSPs can detect the attacks efficiently and protect privacy simultaneously

关键词： Outsourcing Information security Data security Monitoring National security computer security Protection Information analysis Data privacy Performance analysis

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